Genetik Algoritma Kullanılarak Gerilim Düşümlerinin Kestirimi

Sümeyye Çolak; Hasarı Karcı; Buket Sonbaş Cobb

doi:10.46578/humder.1115748

Research Article

Voltage Sag Estimation with Genetic Algorithm

Year 2022, Volume: 7 Issue: 2, 50 - 59, 30.08.2022

Sümeyye Çolak , Hasarı Karcı , Buket Sonbaş Cobb

https://doi.org/10.46578/humder.1115748

Abstract

In this study, it has been tried to estimate the voltage sag numbers occurring in the busses in electricity distribution systems by using genetic algorithm. The developed method has been tested for different threshold values and different population sizes in IEEE 24-Bus, IEEE 30-Bus and IEEE 118-Bus systems. 10 simulations are carried out for each different situation, the average error value was calculated and the results were presented in tables. According to the results, it has been seen that the success of the genetic algorithm in estimating the number of voltage drops is at an acceptable level, and the error number is generally less than 2.

Keywords

Power Quality, Genetic Algorithm, Voltage Sag Estimation

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